Atanassov's Interval-Valued Intuitionistic Linguistic Multicriteria Group Decision-Making Method Based on the Trapezium Cloud Model

نویسندگان

  • Jian-qiang Wang
  • Pei Wang
  • Jing Wang
  • Hong-yu Zhang
  • Xiaohong Chen
چکیده

The cloud model, which can implement uncertain transformation between a qualitative concept and its quantitative instantiations, has attracted great attentions in multi-criteria decision-making problems with linguistic information. This paper proposes some operations and a possibility degree of trapezium clouds as well as several new aggregation operators: the trapezium cloud weighted arithmetic averaging (TCWAA) operator, the trapezium cloud ordered weighted arithmetic averaging (TCOWA) operator and the trapezium cloud hybrid arithmetic (TCHA) operator. Moreover, a method with Atanassov's interval-valued intuitionistic linguistic numbers (AIVILNs) based on trapezium clouds is presented, which can provide solutions for multi-criteria group decision-making problems with Atanassov's interval-valued intuitionistic linguistic information. In this method, AIVILNs are firstly converted into trapezium clouds and aggregated by trapezium cloud aggregation operators. Then, the ranking of alternatives is determined by the possibility degree matrix of trapezium clouds. Finally, an illustrative example confirming the validity and feasibility of the proposed method is conducted.

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عنوان ژورنال:
  • IEEE Trans. Fuzzy Systems

دوره 23  شماره 

صفحات  -

تاریخ انتشار 2015